metafile.yml
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Collections:
- Name: DyHead
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 4x T4 GPUs
Architecture:
- ATSS
- DyHead
- FPN
- ResNet
- Deformable Convolution
- Pyramid Convolution
Paper:
URL: https://arxiv.org/abs/2106.08322
Title: 'Dynamic Head: Unifying Object Detection Heads with Attentions'
README: configs/dyhead/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.22.0/mmdet/models/necks/dyhead.py#L130
Version: v2.22.0
Models:
- Name: atss_r50_caffe_fpn_dyhead_1x_coco
In Collection: DyHead
Config: configs/dyhead/atss_r50_caffe_fpn_dyhead_1x_coco.py
Metadata:
Training Memory (GB): 5.4
inference time (ms/im):
- value: 75.7
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/dyhead/atss_r50_fpn_dyhead_for_reproduction_1x_coco/atss_r50_fpn_dyhead_for_reproduction_4x4_1x_coco_20220107_213939-162888e6.pth
- Name: atss_r50_fpn_dyhead_1x_coco
In Collection: DyHead
Config: configs/dyhead/atss_r50_fpn_dyhead_1x_coco.py
Metadata:
Training Memory (GB): 4.9
inference time (ms/im):
- value: 73.1
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.3
Weights: https://download.openmmlab.com/mmdetection/v2.0/dyhead/atss_r50_fpn_dyhead_4x4_1x_coco/atss_r50_fpn_dyhead_4x4_1x_coco_20211219_023314-eaa620c6.pth